Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.

PloS one - 30 Nov 2009

Walshe Valerie A, Hattotuwagama Channa K, Doytchinova Irini A, Wong Mailee, Macdonald Isabel K, Mulder Arend, Claas Frans H J, Pellegrino Pierre, Turner Jo, Williams Ian, Turnbull Emma L, Borrow Persephone, Flower Darren R

Abstract excerpt

BACKGROUND: Predictive models of peptide-Major Histocompatibility Complex (MHC) binding affinity are important components of modern computational immunovaccinology. Here, we describe the development and deployment of a reliable peptide-binding prediction method for a previously poorly-characteriz...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amino Acid Motifs
Share to Edetic Acid

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epitopes

Share to Histocompatibility Antigens Class I

Share to HLA-C Antigens

Share to In Vitro Techniques

Share to Leukocytes, Mononuclear

Share to Major Histocompatibility Complex

Source

Open in PubMed Open full text

Identifiers

PMID: 19956609
DOI: 10.1371/journal.pone.0008095
PMCID: PMC2779488

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19956609-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrating in silico and in vitro analysis of peptide binding affinity to HLA-Cw*0102: a bioinformatic approach to the prediction of new epitopes.PMID 19956609Read ↗

Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: in silico bioinformatic step-by-step guide using quantitative structure-activity relationships.Semantic proximity Read ↗

Class II HLA-peptide binding prediction using structural principles.Semantic proximity Read ↗

Knowledge-based virtual screening of HLA-A*0201-restricted CD8+ T-cell epitope peptides from herpes simplex virus genome.Semantic proximity Read ↗

Evaluating Cross-linking-driven integrative modeling in peptide-HLAII complexes prediction with insights for refining predictive accuracySemantic proximity Read ↗

Sequence-based prediction of SARS-CoV-2 vaccine targets using a mass spectrometry-based bioinformatics predictor identifies immunogenic T cell epitopes.Semantic proximity Read ↗

HLA-peptide binding prediction using structural and modeling principles.Semantic proximity Read ↗

Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopesSemantic proximity Read ↗

Prediction of HLA-DQ3.2β Ligands: evidence of multiple registers in class II binding peptidesSemantic proximity Read ↗

Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes.Semantic proximity Read ↗

Peptide binding prediction for the human class II MHC allele HLA-DP2: a molecular docking approach.Semantic proximity Read ↗

Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature sets.Semantic proximity Read ↗

MHCII3D-Robust Structure Based Prediction of MHC II Binding Peptides.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.